To provide a spatially detailed national assessment of housing density and housing change across the conterminous U.S. for 1990, 2000, 2010, and 2020 to support research, policy and management, and inquiries into the effects of housing growth on the environment.
Using geographic information systems (GIS), we mapped housing unit counts from the 1990, 2000, 2010, and 2020 decennial U.S. Census Data at block group level geography to produce spatially explicit datasets for the conterminous U.S..Then using (1) 1990-2000, (2) 2000-2010, and (3) 2010-2020 Census Bureau relationship tables, we allocated 1990, 2000, and 2010 housing units to 2020 census blocks based on the type of spatial relationship between blocks: (a) 1-to-1, (b) 1-to-many, (c) many-to-1, (d) many-to-many. The end result is 2020 census blocks (polygons) with housing units allocated from 1990 - 2010.Lastly, we overlaid the housing change data with the Protected Areas Dataset (PAD version 2.1) to split census block groups into privately and publicly owned sub-blocks, thereby creating a map that more accurately locates where people and houses exist in space. This data is useful within a GIS for mapping and analysis at national, state, and local levels.
There are no credits for this item.
None. Acknowledgment of the USDA Forest Service Northern Research Station in products, presentations, and publications utilizing these data would be appreciated.
There is no extent for this item.
There is no scale range for this item.
census decades 1990, 2000, 2010 allocated to 2020 census blocks
None. Acknowledgment of the USDA Forest Service Northern Research Station in products, presentations, and publications utilizing these data would be appreciated.
Topology maintained by ArcGIS 10.3. All fuzzy tolerances during processing were set to 0.00000001 to prevent data loss.
Data is for the conterminous United States only (lower 48 states and Disrict of Columbia). No data was generated for Alaska, Hawaii, and U.S. territories.
1) Download block relationship tables from U.S. Census website (1990-2000 and 2000-2010)
2) Join housing units for each decade to the relationship tables
3) Allocate 1990 housing to 2000 blocks using adjusted relationship tables (see algorithm)
4) Allocate 2000 housing to 2010 blocks using adjusted relationship tables (see algorithm)
5) Build 1990 to 2010 adjusted relationship table using allocated 1990 values for 2000 blocks
6) Allocate 1990 housing to 2010 blocks using adjusted census relationship tables (see allocation algorithm)
7) Created nationwide map of "protected areas with no housing units", pulled from the PAD-US (CBI Edition) version 2.1, including all federal, state, regional, and local government owned lands. Intersected these protected areas with U.S. block level housing change 1990-2020 dataset and moved housing units out of protected areas into neighboring privately owned blocks with the same block ID (called public land adjustment or PLA). If the same block ID had no private areas then houses remained within the protected lands boundary (no adjustment). Corrected topological errors and removed sliver polygons from public-land adjusted housing density dataset.
PAD-US (CBI Edition) Version 2 is a comprehensive geospatial data set of United States protected areas, including detailed information on land ownership, management and conservation status.
U.S. Census TIGER/Line 1990, 2000, and 2010 block polygons. Housing and population densities obtained from Summary File 1.
U.S. Census Bureau 2000 Block Relationship Files and 2010 Block Relationship Files (Geographic Relationships Over Time).
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Feature geometry.
Esri
Coordinates defining the features.
A unique number assigned to Census Blocks concatenated from State, County, Tract, and Block, and Water fields from US Census TIGER. The Census Bureau defines a block as the smallest geographic area for which the Bureau of the Census collects and tabulates decennial census data, [and] are formed by streets, roads, railroads, streams and other bodies of water, other visible and cultural features, and the legal boundaries shown on Census Bureau maps (US Census Bureau).
U.S. Census Bureau
Flag if polygon is a water body using 2020 TIGER water bodies (1=water)
U.S. Census Bureau
% of block area that is water
U.S. Census Bureau
2020 population
U.S. Census Bureau
2020 total housing units
U.S. Census Bureau
2020 occupied housing units
U.S. Census Bureau
2020 vacant housing units
U.S. Census Bureau
2020 population density (units / square km)
U.S. Census Bureau
2020 total housing density (units / square km)
U.S. Census Bureau
2020 occupied housing density (units / square km)
U.S. Census Bureau
2020 vacant housing density (units / square km)
U.S. Census Bureau
1990 total housing units (allocated)
U.S. Census Bureau
2 letter state abbreviation
SILVIS Lab
1990 total housing density (units / square km)
SILVIS Lab
2000 total housing units (allocated)
U.S. Census Bureau
2000 total housing density (units / square km)
SILVIS Lab
2010 total housing units (allocated)
U.S. Census Bureau
2010 total housing density (units / square km)
SILVIS Lab
Flag if polygon is a protected area (1=public land)
SILVIS Lab
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
Spatial objects (features) can be thought of as uniform areas of housing density.
No warranty, expressed or implied, is made by the U.S. Forest Service or the University of Wisconsin-Madison regarding the use of these data, nor does the act of distribution constitute any such warranty.